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Executive Full Stack Machine Learning Engineer Jobs in Portland, OR

Machine Learning Engineer Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience ...

Full Stack Engineer

Beaverton, OR · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Full Stack Engineer

Hillsboro, OR · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Full Stack Engineer

Gresham, OR · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Full Stack Engineer

Vancouver, WA · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Full Stack Engineer

Portland, OR · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications • Bachelor's or ...

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications • Bachelor's or ...

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications Bachelor's or ...

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract Experience Level: 5+ years of experience Required Qualifications • Bachelor's or ...

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Full Stack Developer

Hillsboro, OR · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Full Stack Developer

Portland, OR · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Full Stack Developer

Gresham, OR · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

Full Stack Developer

Vancouver, WA · Remote

$40 - $75/hr

As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers ...

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Showing results 1-20

Executive Full Stack Machine Learning Engineer information

See Portland, OR salary details

$47.2K

$142.9K

$202K

How much do executive full stack machine learning engineer jobs pay per year?

As of May 28, 2026, the average yearly pay for executive full stack machine learning engineer in Portland, OR is $142,925.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,700.00 and $167,600.00 per year, depending on experience, location, and employer.

What is the difference between Executive Full Stack Machine Learning Engineer vs Data Scientist?

AspectExecutive Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Engineering, or related; often requires experience in ML and full stack developmentBachelor's/Master's in Data Science, Statistics, or related; strong analytical and statistical skills
Work EnvironmentDevelops end-to-end ML solutions, integrates backend and frontend, collaborates with engineering teamsAnalyzes data, builds models, visualizes insights, often in research or analytics teams
Industry UsageUsed in tech companies, startups, and enterprises deploying ML productsCommon in research institutions, analytics firms, and data-driven organizations

The Executive Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, combining software engineering and data science skills. In contrast, Data Scientists primarily analyze data and develop models without necessarily handling full stack development. Both roles require strong technical credentials but differ in scope and daily tasks.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Portland, OR? The most popular types of Full Stack Machine Learning Engineer jobs in Portland, OR are:
What are popular job titles related to Executive Full Stack Machine Learning Engineer jobs in Portland, OR? For Executive Full Stack Machine Learning Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Executive Full Stack Machine Learning Engineer jobs in Portland, OR look for? The top searched job categories for Executive Full Stack Machine Learning Engineer jobs in Portland, OR are:
What cities near Portland, OR are hiring for Executive Full Stack Machine Learning Engineer jobs? Cities near Portland, OR with the most Executive Full Stack Machine Learning Engineer job openings:
Infographic showing various Executive Full Stack Machine Learning Engineer job openings in Portland, OR as of May 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $142,925 per year, or $68.7 per hour.
Machine Learning Engineer

Machine Learning Engineer

ChabezTech LLC

Portland, OR • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Machine Learning Engineer

Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 Months Contract

Experience Level: 5+ years of experience

Required Qualifications

  • Bachelor's or master's degree in computer science, Machine Learning, Electrical Engineering, or related field
  • 5+ years of experience in machine learning, data science, or AI engineering
  • Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow)
  • Experience with time-series data analysis and anomaly detection
  • Hands-on experience with causal inference methods (e.g., Bayesian networks, structural causal models)
  • Experience building or working with knowledge graphs (Neo4j, RDF, graph databases)
  • Understanding of explainable AI techniques (SHAP, LIME, counterfactual analysis)
  • Experience deploying ML models in production systems
  • Strong problem-solving skills and ability to work with complex, real-world datasets

Preferred Qualifications

  • Experience with fault tree analysis (FTA), reliability engineering, or failure analysis
  • Background in industrial systems, semiconductors, manufacturing, or IoT environments
  • Experience with graph-based ML / Graph Neural Networks (GNNs)
  • Familiarity with RCA methodologies (FMEA, 5 Whys, fishbone diagrams)
  • Experience with vector databases, RAG systems, or LLM-based reasoning
  • Knowledge of MLOps practices (CI/CD, monitoring, model governance)
  • Experience working in air-gapped or high-security environments

Additional Information

All your information will be kept confidential according to EEO guidelines.